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Analysis on the causes of massive stranding of Yellow sea green tide on Lianyungang and Rizhao coasts in 2022

Journal of Oceanology and Limnology 2024年第3期42卷 816-830页

作者： Lingjuan WU Juan HUANG Yi DING Guiyan LIU Shuai HUANG Song GAO Chao YUAN Jiangling XU Ping WU Rui HUANG Ruobing WEN Jie MEI north china sea marine forecasting and hazard mitigation center Ministry of Natural ResourcesQingdao 266061China Shandong Key Laboratory of marine Ecological Environment and Disaster Prevention and mitigation Qingdao 266061China National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology Xi’an 710129China East china sea marine forecasting and hazard mitigation center Ministry of Natural ResourcesShanghai 200136China north china sea Ecological center Ministry of Natural ResourcesQingdao 266033China

In 2022,Yellow sea green tide caused by Ulva prolifera reached a historic minimum and the coastal areas of Shandong Peninsula were less ***,the largest amount of seaweed biomass has been washed ashore on Lianyungang and Rizhao coasts since *** studied the development pattern of Yellow sea green tide in 2022,and analyzed the key environmental factors on the growth and drifting,then discussed the possible reasons that resulted in the massive stranding of green tide biomass in Lianyungang and *** show under the combined influence of the east to southeast winds and currents with shoreward anomalies,green tide drifted to the coastal waters between Shandong and Jiangsu provinces and the distribution areas located westward compared with previous years(2008–2021).Floating *** rafts from the coastal waters of Binhai and Sheyang drifted continuously into the coastal waters of Lianyungang and Rizhao,providing important supplements for Yellow sea green *** green tide in 2022 distributed close to the coastal waters,the abundant nutrients might support their continuous high growth *** addition,the amount of rainfall around Shandong Peninsula from late June to early July were significantly higher than in previous years,which might promote the development of green tide to some extent.

关键词： Yellow sea green tide stranding biomass development pattern environmental factor

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Role of Stokes Drift in Ocean Dynamics Under Typhoon Conditions in the Bohai sea

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Journal of Ocean University of china 2024年第1期23卷 33-45页

作者： LI Haoqian WAN Kai WANG Menghan DENG Zeng’an CAO Yu north china sea marine forecasting center Qingdao 266061China Shandong Provincial Key Laboratory of marine Ecology and Environment&Disaster Prevention and mitigation Qingdao 266061China north china sea Offshore Engineering Survey Institute Qingdao 266061China School of marine Science and Technology Tianjin UniversityTianjin 300072China South china sea marine forecasting center Guangzhou 510006China

The effect of Stokes drift production(SDP),which includes Coriolis-Stokes forcing,Langmuir circulation,and Craik-Lei-bovich vortexes,on the upper ocean during typhoon passage in the Bohai sea(BS),china,is investigated by using a coupled wave-current *** role of SDP in turbulent mixing and the further dynamics during the entire typhoon period are comprehensively *** results show that SDP greatly increases turbulent mixing at all depths under typhoon conditions by up to seven times that under normal weather *** generally strengthens sea surface cooling by more than 0.4℃,with the maximum reduction in sea surface temperature(SST)at the during-typhoon stage exceeding 2℃,which is approximately seven times larger than that under normal weather *** SDP-induced decrease in current speed can exceed 0.2ms^(-1),and the change in current direction is generally opposite the wind *** results suggest that Stokes drift depresses the effect of strong winds on currents by intensifying turbulent *** layer depth(MLD)is distinctly increased by O(1)during typhoons due to SDP and can deepen by more than *** addition,the continuous effects of SDP on SST,current,and MLD at the after-typhoon stage indi-cate a hysteretic response between SDP and typhoon actions.

关键词： Stokes drift production Langmuir turbulence rurbulent mixing typhoon coupled model

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Eutrophication of Jiangsu Coastal Water and Its Role in the Formation of Green Tide

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Journal of Ocean University of china 2024年第1期23卷 109-118页

作者： XIAO Mingyan SONG Weina ZHANG Haibo SHI Xiaoyong SU Rongguo Key Laboratory of marine Chemistry Theory and Technology Ministry of EducationOcean University of ChinaQingdao 266100China National marine Environmental Monitoring center Dalian 116000China National marine hazard mitigation Service Beijing 100194China

Since 2007,the large-scale green tide caused by Ulva prolifera(***)have occurred as a recurrent phenomenon in the southern Yellow sea of *** surveys and satellite remote sensing showed that the small scattered patches of green tide algae were first observed along the Porphyra agriculture area of the Subei Shoal in late *** this study,we attempted to identify the role of eutrophication in the origin of the green tide in the Subei Shoal and its adjacent *** Shoal and its adjacent area are characterized by rich nutrients,especially NO_(3)^(-)-N,NH_(4)^(+)-N,PO_(4)^(3-)-P,and other bioavailable components(such as urea-N and amino acids).In the spring of 2017,the average concentrations of NO_(3)^(-)-N were 19.01±11.01μmolL^(-1),accounting for 86.68%of the dis-solved inorganic nitrogen(DIN).In addition,the average concentration of NH4^(+)-N was 2.51±1.60μmolL^(-1).PO_(4)^(3-)-P had an average concentration of 0.14±0.13μ*** average concentrations of urea-N and total hydrolyzed amino acids(THAA)were 1.73±1.36μmolL^(-1)and 1.33±0.80μmolL^(-1),*** nutritive substances play a key role in the rapid production of *** and make the Jiangsu coastal water an incubator for green tide.

关键词： green tide nutrients algae Ulva prolifera eutrophication Subei Shoal

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Overview on Mangrove Forest Disaster Prevention and mitigation Functions

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Journal of Ocean University of china 2024年第1期23卷 46-56页

作者： CHEN Xinping YIN Ziqi LI Zibin WANG Bin TAO Aifeng GUO Zhixing WANG Fei AN Yanhong O’DRISCOLL Kieran College of Harbour Coastal and Offshore EngineeringHohai UniversityNanjing 210098China National marine hazard mitigation Service Beijing 100194China The People’s Government of Hainan Province Haikou 570204China Hibernian marine Systems Limited Cork T12EDD8Ireland

This paper provides a comprehensive overview on coastal protection and hazard mitigation by *** stud-ies have made great strides to understand the mechanisms and influencing factors of mangroves’protection function,including wave energy dissipation,storm surge damping,tsunami mitigation,adjustment to sea level rise and wind speed reduction,which are sys-tematically summarized in this ***,the study analyzes the extensive physical models,based on indoor flume experi-ments and numerical models,that consider the interaction between mangroves and hydrodynamics,to help our understanding of mangrove-hydrodynamic ***,quantitative approaches for valuing coastal protection services provided by man-groves,including index-based and process-resolving approaches,are introduced in ***,we point out the limitations of previous studies,indicating that efforts are still required for obtaining more long-term field observations during extreme weather events,to create more real mangrove models for physical experiments,and to develop numerical models that consider the flexible properties of mangroves to better predict wave propagation in mangroves having complex morphology and structures.

关键词： mangrove coastal protection disaster prevention and mitigation disaster reduction value coastal resilience

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Long-term trend analysis of wave characteristics in the Bohai sea based on interpolated ERA5 wave reanalysis from 1950 to 2020

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Acta Oceanologica Sinica 2022年第7期41卷 97-112页

作者： Jichao Wang Peidong Sun Zhihong Liao Fan Bi Guiyan Liu College of Science China University of PetroleumQingdao266580China National Meteorological Information center Beijing100081China north china sea marine forecasting center of State Oceanic Administration Qingdao266061China Shandong Provincial Key Laboratory of marine Ecological Environment and Disaster Prevention and mitigation Qingdao266061China

Reasonably understanding of the long-term wave characteristics is very crucial for the ocean engineering.A feedforward neural network is operated for interpolating ERA5 wave reanalysis in this study,which embodies a detailed record from 1950 *** spatiotemporal variability of wave parameters in the Bohai sea,especially the significant wave height(SWH),is presented in terms of combined wave,wind wave and swell by employing the 71 years(1950–2020)of interpolated ERA5 *** mean SWH decreases at−0.12 cm/a estimated by Theil-Sen estimator and 95th percentile SWH reflecting serve sea states decreases at−0.20 cm/***-seasonal analysis shows SWH of wind wave has steeper decreasing trend with higher slopes than that of swell,especially in summer and winter,showing the major decrease may attribute to the weakening of *** inner Bohai sea reveals a general decreasing trend while the intersection connecting with the Yellow sea has the lower significance derived by Mann-Kendall ***,95th percentile SWH decreases at a higher rate while with a lower significance in comparison with the mean *** frequencies of mean wave directions in sub-sector are statistically calculated to find the seasonal prevailing ***,the dominant directions in summer and winter are south and north.A similar variation concerning to SWH,the trend of the mean wave period is provided,which also shows a decrease for decades.

关键词： wave characteristic wind wave swell long-term trend Bohai sea

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seasonal Distribution of Observed Colored Dissolved Organic Matter(CDOM)in the Eastern Indian Ocean

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Journal of Ocean University of china 2023年第4期22卷 886-896页

作者： CAI Xiaoqing MENG Jie YUAN Chao LIU Rongjie HOU Erhu BI Dayong LI Yaoru QIAN Chengcheng ZHONG Shan Shandong Key Laboratory of marine Ecological Environment and Disaster Prevention and mitigation Qingdao 266061China north china sea marine forecasting center Ministry of Natural ResourcesQingdao 266061China National Ocean Technology center Ministry of Natural ResourcesTianjin 300112China The First Institute of Oceanography Ministry of Natural ResourcesQingdao 266061China north china sea Environmental Monitoring center Ministry of Natural ResourcesQingdao 266033China

Colored dissolved organic matter(CDOM)is a crucial constituent that affects the optical absorption properties of *** to the relatively limited measured data on the spatial distribution characteristics of CDOM in the tropical eastern Indian Ocean,this study analyzes the optical absorption characteristics of CDOM in the southeast Indian Ocean using the data collected during four seasons from 2013 to *** work also systematically describes the seasonal horizontal and vertical distribution characteristics of CDOM in this area and conducts a preliminary analysis of the relevant factors affecting CDOM absorption characteristics in this *** indicate that the CDOM ag(440)during summer was remarkably lower than that in the coastal waters of Europe and coastal waters of china but slightly higher than that in the western and southeast *** spatial distribution of surface CDOM shows remarkable seasonal differences,and the spatial distribution characteristics of CDOM in the 5°S,92°E region differ between spring/summer and autumn/*** values of ag(400)and ag(440)are weak/strong at a surface/subsurface level of 100 m,with differences found between summer and *** correlation of CDOM with temperature,salinity,and chlorophyll-a concentration is relatively low,indicating that CDOM is an independent driving mechanism influenced by phytoplankton degradation,photobleaching,and water mixing.

关键词： colored dissolved organic matter tropical eastern Indian Ocean distribution characteristics influencing factors

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Tsunami hazard and mitigation analysis for bathing beaches in china based on numerical simulations

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Acta Oceanologica Sinica 2022年第12期41卷 27-37页

作者： Jingming Hou Wei Lu Tingting Fan Peitao Wang National marine Environmental forecasting center Beijing 100081China Key Laboratory of marine hazards forecasting Ministry of Natural ResourcesBeijing 100081China

Bathing beaches are usually the first to suffer disasters when tsunamis occur,owing to their proximity to the *** large seismic fault zones are located off the coast of *** impact of each tsunami scenario on Chinese bathing beaches is *** this study,numerical models of the worst tsunami scenarios associated with seismic fault zones were considered to assess the tsunami hazard of bathing beaches in *** results show that tsunami waves from the Pacific Ocean could affect the East china sea coast through gaps between the Ryukyu *** Zhejiang and Shanghai coasts would be threatened by a tsunami from Ryukyu Trench,and the coasts of Hainan and Guangdong provinces would be threatened by a tsunami from the Manila *** tsunami hazard associated with the Philippine Trench scenario needs particular *** to china’s offshore topography,the sequential order of tsunami arrival times to coastal provinces in several tsunami scenarios is almost the *** to the tsunami hazard analysis results,Yalongwan Beach and eight other bathing beaches are at the highest hazard level.A high-resolution numerical calculation model was established to analyze the tsunami physical characteristics for the high-risk bathing *** explore mitigating effects of a tsunami disaster,this study simulated tsunami propagation with the addition of *** experimental results show that the tsunami prevention seawalls constructed in an appropriate shallow water location have some effect on reducing tsunami *** separated by a certain distance work even *** analysis results can provide a scientific reference for subsequent preventive measures such as facility construction and evacuation.

关键词： tsunami bathing beach hazard mitigation

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A forecasting model for wave heights based on a long short-term memory neural network

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Acta Oceanologica Sinica 2021年第1期40卷 62-69页

作者： Song Gao Juan Huang Yaru Li Guiyan Liu Fan Bi Zhipeng Bai north china sea marine forecasting center of State Oceanic Administration Qingdao 266061China Shandong Provincial Key Laboratory of marine Ecological Environment and Disaster Prevention and mitigation Qingdao 266061China Mailbox 5111 Beijing 100094China

To explore new operational forecasting methods of waves,a forecasting model for wave heights at three stations in the Bohai sea has been *** model is based on long short-term memory(LSTM)neural network with sea surface wind and wave heights as training *** prediction performance of the model is evaluated,and the error analysis shows that when using the same set of numerically predicted sea surface wind as input,the prediction error produced by the proposed LSTM model at Sta.N01 is 20%,18%and 23%lower than the conventional numerical wave models in terms of the total root mean square error(RMSE),scatter index(SI)and mean absolute error(MAE),***,for significant wave height in the range of 3–5 m,the prediction accuracy of the LSTM model is improved the most remarkably,with RMSE,SI and MAE all decreasing by 24%.It is also evident that the numbers of hidden neurons,the numbers of buoys used and the time length of training samples all have impact on the prediction ***,the prediction does not necessary improve with the increase of number of hidden neurons or number of buoys *** experiment trained by data with the longest time length is found to perform the best overall compared to other experiments with a shorter time length for ***,long short-term memory neural network was proved to be a very promising method for future development and applications in wave forecasting.

关键词： long short-term memory marine forecast neural network significant wave height

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The Structure and Formation Mechanism of a sea Fog Event over the Yellow sea

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Journal of Ocean University of china 2015年第1期14卷 27-37页

作者： GUO Jingtian LI Pengyuan FU Gang ZHANG Wei GAO Shanhong ZHANG Suping Shandong Provincial Key Laboratory of marine Ecology and Environment & Disaster Prevention and mitigation North China Sea Marine Forecasting CenterState Oceanic Administration Laboratory of Physical Oceanography Department of Marine Meteorology Ocean University of China

In this paper, a heavy sea fog event occurring over the Yellow sea on 11 April 2004 was investigated based upon observational and modeling analyses. From the observational analyses, this sea fog event is a typical advection cooling case. sea surface temperature(SST) and specific humidity(SH) show strong gradients from south to north, in which warm water is located in the south and consequently, moisture is larger in the south than in the north due to evaporation processes. After fog formation, evaporation process provides more moisture into the air and further contributes to fog evolution. The sea fog event was reproduced by the Regional Atmospheric Modeling System(RAMS) reasonably. The roles of important physical processes such as radiation, turbulence as well as atmospheric stratification in sea fog's structure and its formation mechanisms were analyzed using the model results. The roles of long wave radiation cooling, turbulence as well as atmospheric stratification were analyzed based on the modeling results. It is found that the long wave radiative cooling at the fog top plays an important role in cooling down the fog layer through turbulence mixing. The fog top cooling can overpower warming from the surface. sea fog develops upward with the aid of turbulence. The buoyancy term, i.e., the unstable layer, contributes to the generation of TKE in the fog region. However, the temperature inversion layer prevents fog from growing upward.

关键词：海雾事件机制结构黄海辐射冷却湍流混合海表温度

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Dynamics of ecosystems and anthropogenic drivers in the Yellow sea Large marine Ecosystem

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Acta Oceanologica Sinica 2022年第6期41卷 1-3页

作者： Jun Sun Yinfeng Guo Gyung Soo Park Andrew Hudson Institute for Advanced marine Research China University of GeosciencesGuangzhou 511462China National marine hazard mitigation Service Ministry of Natural ResourcesBeijing 100194China Department of marine Biotechnology Anyang UniversityAnyang 14028R.O.Korea Bureau for Policy and Programme Support United Nations Development ProgrammeNew York 10017USA

In the developed world,governance of marine ecological environment is the important part of the national ecological and economic *** Yellow sea is one of large marine ecosystems in the seas of East Asia,which is an extension of one of the largest continental shelf areas,and forms a huge but shallow sediment body in its south area which is geographically unique in the *** a region with the most fragile natural environment,unparalleled global ecological significance and the most urgent protection needs,the Yellow sea ecological zone is becoming a common concern of countries around the Yellow sea and beyond,such as tidal flats and the staging migratory birds(Murray et al.,2015).

关键词： shallow tidal shelf

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